Miroslav Stoyanov Staff Scientist Contact 865.576.6476 | STOYANOVMK@ORNL.GOV All Publications ASGarD: Adaptive Sparse Grid Discretization Sparse-grid discontinuous Galerkin methods for the Vlasov–Poisson–Lenard–Bernstein model Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targetin... Reduced Order Model to Predict Dispersion of Flammable Refrigerant into a Space Calibrating uncertain parameters in melt pool simulations of additive manufacturing... Data-driven surrogate modeling of hPIC ion energy-angle distributions for high-dimensional sensitivity analysis of plasma parameters' uncertainty Completion of initial reduced-order model for flammable refrigerant dispersal in residential spaces Anderson Acceleration for Distributed Training of Deep Learning Models... A Feynman-Kac based numerical method for the exit time probability of a class of transport problems... A Sparse-Grid Probabilistic Scheme for Approximation of the Runaway Probability of Electrons in Fusion Tokamak Simulation A Method for Dimensionally Adaptive Sparse Trigonometric Interpolation of Periodic Functions Reduced Models for Chemical Kinetics derived from Parallel Ensemble Simulations of Stirred Reactors Reduced-order model to estimate safe flammable refrigerant charge limits for a one-room air conditioner METHODOLOGY FOR ESTIMATING SAFE CHARGE LIMITS OF FLAMMABLE REFRIGERANTS IN HVAC&R APPLICATIONS – PART 2 Adaptive Sparse Grid Construction in a Context of Local Anisotropy and Multiple Hierarchical Parents... Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization A surrogate modeling approach for crack pattern prediction in peridynamics Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines... Application of high performance computing for studying cyclic variability in dilute internal combustion engines... Application of High Performance Computing for Simulating the Unstable Dynamics of Dilute Spark-Ignited Combustion Exascale Scientific Time Evolving Applications... Resilient, Communication-Reducing, and Adaptive Time Stepping to Accelerate Exascale Scienti c Applications Uncertainty Quantification Techniques for Population Density Estimates Derived from Sparse Open Source Data Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Multiscale Methods and Dynamics Group
